code: def check_tokenizer_from_pretrained(self, tokenizer_class):
      s3_models = list(tokenizer_class.max_model_input_sizes.keys())
      for model_name in s3_models[:1]:
          tokenizer = tokenizer_class.from_pretrained(model_name)
          self.assertIsNotNone(tokenizer)
          self.assertIsInstance(tokenizer, tokenizer_class)
          self.assertIsInstance(tokenizer, PreTrainedTokenizer)
  
          for special_tok in tokenizer.all_special_tokens:
              self.assertIsInstance(special_tok, str)
              special_tok_id = tokenizer.convert_tokens_to_ids(
                  special_tok
              )
              self.assertIsInstance(special_tok_id, int)
  
imports: import os
  import pickle
  import tempfile
  import unittest
  from typing import Callable, Optional
  import numpy
  from transformers import BatchEncoding, BertTokenizer, BertTokenizerFast, PreTrainedTokenizer, PreTrainedTokenizerFast, TensorType, TokenSpan, is_tokenizers_available
  from transformers.models.gpt2.tokenization_gpt2 import GPT2Tokenizer
  from transformers.testing_utils import CaptureStderr, require_flax, require_tf, require_tokenizers, require_torch, slow
label_desc: Use image node_id 1 for calling the TokenizerUtilsTest obj's underlying member method code with example usage: obj.check_tokenizer_from_pretrained(tokenizer_class) without return types